Human thought thrives under constraints like info scarcity and costly errors that forge deep judgment. AI inverts this with abundant data, cheap mistakes that can yield fluent but unearned confidence.
We need a human-centered AI pedagogy. In his illuminating book Co-Intelligence, Ethan Mollick describes the potential for ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
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